• DocumentCode
    1845701
  • Title

    Multiple-target localization and estimation of MIMO radars with unknown transmitted signals

  • Author

    Xia, Wei ; He, Zishu

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    3009
  • Lastpage
    3012
  • Abstract
    We consider a statistical multiple-input multiple-output (MIMO) radar system in which the transmit antennas are sparsely spaced to achieve spatial diversity while the receive antennas are closely spaced for direction finding. We consider the scenario where the transmitted signals are unknown. A two-step procedure is introduced to accomplish the localization of multiple targets and the estimation of both the fading matrix and the transmitted signals. In the first step, the angles are estimated using the approximate maximum likelihood algorithm. In the second step, the fading matrix and the transmitted signals are estimated using the blind signal processing techniques. The performance of the proposed procedure is validated by the simulation results.
  • Keywords
    MIMO communication; diversity reception; fading; maximum likelihood estimation; radar antennas; radar tracking; radio direction-finding; receiving antennas; signal processing; target tracking; transmitting antennas; MIMO radars; approximate maximum likelihood algorithm; blind signal processing techniques; closely spaced antennas; direction finding; fading matrix; multiple-input multiple-output radar system; multiple-target localization; receive antennas; sparsely spaced antennas; spatial diversity; transmit antennas; transmitted signals; Directive antennas; Fading; MIMO; Maximum likelihood estimation; Radar antennas; Receiving antennas; Signal processing; Signal processing algorithms; Spaceborne radar; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4542091
  • Filename
    4542091